Copulas have been used extensively to capture the cross-sectional dependence in multivariate time series; see [1]} for a review. However, they can also be used
to capture the serial dependence in a univariate series. The resulting time series
models are
extremely flexible, and there are many potential applications to continuous, discrete or
mixed data.
